Modelling Stem Cells Lineages with Markov Trees

Authors:
Victor Olariu;Daniel Coca;Stephen A. Billings;Visakan Kadirkamanathan
Affiliations:
Department of Automatic Control and Systems Engineering, The University of Sheffield, UK;Department of Automatic Control and Systems Engineering, The University of Sheffield, UK;Department of Automatic Control and Systems Engineering, The University of Sheffield, UK;Department of Automatic Control and Systems Engineering, The University of Sheffield, UK
Venue:
PRIB '09 Proceedings of the 4th IAPR International Conference on Pattern Recognition in Bioinformatics
Year:
2009

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Abstract

A variational Bayesian EM with smoothed probabilities algorithm for hidden Markov trees (HMT) is proposed for incomplete tree structured data. The full posterior of the HMT parameters is determined and the underflow problems associated with previous algorithms are eliminated. Example results for the prediction of the types of cells in real stem cell lineage trees are presented.